|Making Software Tutorial Video Responsive|
|Cuong Nguyen and Feng Liu|
|Computer Science Department, Portland State University|
Tutorial videos are widely available to help people use
software. These videos, however, are viewed by users as captured and offer
little direct interaction between users and software. This paper presents a
video navigation method that allows users to interact with software tutorial
video as if they were using the software. To make the tutorial video
responsive, our method records the user interaction events like mouse click
and drag during capturing the video. Our method then analyzes, selects, and
visualizes these user interaction events at the event locations. When a user
directly interacts with an event visualization, our method automatically
navigates to the proper video frame to provide the visual feedback as if the
software were responding to the user input. Thus, our method provides the
experience of interacting with the software through directly manipulating
the tutorial video. Our study shows our method can better help users follow
tutorial videos to complete tasks than the baseline timeline interface.
|Cuong Nguyen and Feng Liu. Making Software Tutorial Video Responsive.
ACM CHI 2015. PDF (Best Paper Honorable Mention Award)
Cuong Nguyen and Feng Liu. Gaze-based Notetaking for Learning from Lecture Videos.
ACM CHI 2016. PDF
Cuong Nguyen, Wu-chi Feng, and Feng Liu. Hotspot: Making Computer Vision More Effective for Human Video Surveillance.
Information Visualization, 2016. PDF
Cuong Nguyen, Yuzhen Niu, and Feng Liu. Direct Manipulation Video Navigation on Touch Screens.
ACM MobileHCI 2014. PDF
Cuong Nguyen, Yuzhen Niu, and Feng Liu. Direct Manipulation Video Navigation in 3D.
ACM CHI 2013. PDF (Best Paper Honorable Mention Award)
Cuong Nguyen, Yuzhen Niu, and Feng Liu. Video Summagator: An Interface for Video Summarization and Navigation.
ACM CHI 2012. PDF
This demo uses cat images from Pixabay user wilkernet and DevianArt user Oliver Pietern under a Creative Commons license. This video was narrated by Allison Mulcrone. This work was supported by NSF IIS-1321119, CNS-1205746 and CNS-1218589.